export

datasets
- Conll05st
- Imdb
- Imikolov
- Movielens
- UCIHousing
- WMT14
- WMT16

datasets
- Cifar10
- Cifar100
- DatasetFolder
- FashionMNIST
- Flowers
- ImageFolder
- MNIST
- VOC2012
models
- LeNet
- mobilenet_v1
- mobilenet_v2
- MobileNetV1
- MobileNetV2
- ResNet
- resnet101
- resnet152
- resnet18
- resnet34
- resnet50
- VGG
- vgg11
- vgg13
- vgg16
- vgg19
ops
transforms
- adjust_brightness
- adjust_contrast
- adjust_hue
- adjust_saturation
- BaseTransform
- BrightnessTransform
- center_crop
- CenterCrop
- ColorJitter
- Compose
- ContrastTransform
- crop
- Grayscale
- hflip
- HueTransform
- Normalize
- normalize
- Pad
- pad
- RandomCrop
- RandomHorizontalFli
- RandomResizedCrop
- RandomRotation
- RandomVerticalFlip
- Resize
- resize
- rotate
- SaturationTransform
- to_grayscale
- to_tensor
- ToTensor
- Transpose
- vflip

API 指南

paddle.fluid / layers / tanh

tanh¶

paddle. tanh ( x, name=None ) [源代码] ¶

tanh 激活函数

\[out = \frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}\]

参数:

x - Tanh算子的输入

name (str|None) - 该层名称（可选）。若设为None，则自动为该层命名。

返回: 张量(Tensor)

返回类型: 变量(Tensor)

代码示例：

import paddle

x = paddle.rand(shape=[32, 784])
y = paddle.tanh(x)
print(y.shape)

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